CRAN Package Check Results for Package lava

Last updated on 2024-11-21 19:52:40 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.8.0	36.78	352.62	389.40	OK
r-devel-linux-x86_64-debian-gcc	1.8.0	24.18	218.61	242.79	OK
r-devel-linux-x86_64-fedora-clang	1.8.0			639.46	OK
r-devel-linux-x86_64-fedora-gcc	1.8.0			534.81	ERROR
r-devel-windows-x86_64	1.8.0	38.00	324.00	362.00	OK
r-patched-linux-x86_64	1.8.0	38.25	327.88	366.13	OK
r-release-linux-x86_64	1.8.0	32.27	325.72	357.99	OK
r-release-macos-arm64	1.8.0			141.00	OK
r-release-macos-x86_64	1.8.0			310.00	OK
r-release-windows-x86_64	1.8.0	36.00	323.00	359.00	OK
r-oldrel-macos-arm64	1.8.0			148.00	OK
r-oldrel-macos-x86_64	1.8.0			351.00	OK
r-oldrel-windows-x86_64	1.8.0	46.00	435.00	481.00	OK

Additional issues

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Check Details

Version: 1.8.0
Check: examples
Result: ERROR Running examples in ‘lava-Ex.R’ failed The error most likely occurred in: > ### Name: Missing > ### Title: Missing value generator > ### Aliases: Missing Missing, Missing<- > > ### ** Examples > > library(lava) > set.seed(17) > m <- lvm(y0~x01+x02+x03) > m <- Missing(m,formula=x1~x01,Rformula=R1~0.3*x02+-0.7*x01,p=0.4) > sim(m,10) y0 x01 x02 x03 R1 x1 1 -0.3307614 1.18078924 0.6810276 -1.17756957 0 NA 2 -1.0786445 0.64319207 -0.6820334 -0.96016651 0 NA 3 -0.5398741 1.29532187 -0.7232567 -0.87895224 0 NA 4 -2.5119604 0.18791807 1.6735260 -3.55613648 1 0.1879181 5 0.3507905 1.59120510 -0.5957556 -1.41674984 0 NA 6 0.4902836 -0.05517906 1.1598438 -0.44876927 0 NA 7 1.1528003 0.83847112 0.1174224 -0.77596771 1 0.8384711 8 1.3032974 0.15937013 0.2592214 -0.83182805 0 NA 9 1.3153836 0.62595440 0.3823621 0.05183012 1 0.6259544 10 -0.3278672 0.63358473 -0.7114817 -0.61655131 0 NA > > > m <- lvm(y~1) Error in cbind(idxM, pidxM) : cannot get data pointer of 'NULL' objects Calls: lvm ... intercept<- -> intercept<-.lvm -> reindex -> mat.lvm -> cbind Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.8.0
Check: tests
Result: ERROR Running ‘test-all.R’ [41s/56s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > #library("lava") > suppressPackageStartupMessages(library("testthat")) > test_check("lava") Loading required package: lava Attaching package: 'lava' The following object is masked from 'package:testthat': compare 0: 13.081250: 0.200620 0.00000 0.337259 1: 7.9524457: 0.272131 0.575626 1.15184 2: 7.4635337: 0.132261 0.763214 0.929738 3: 7.0359771: 0.0594089 0.733914 0.616824 4: 6.9865362: 0.0794124 0.756603 0.558204 5: 6.9757752: 0.0833126 0.759329 0.492413 6: 6.9738107: 0.0806668 0.756413 0.513241 7: 6.9737419: 0.0827969 0.758414 0.510545 8: 6.9737365: 0.0806693 0.757663 0.508982 9: 6.9737257: 0.0819960 0.757150 0.509933 10: 6.9737242: 0.0817930 0.757623 0.509977 11: 6.9737241: 0.0816735 0.757610 0.509971 12: 6.9737241: 0.0816798 0.757610 0.509973 [ FAIL 16 | WARN 0 | SKIP 0 | PASS 173 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-constrain.R:51:5'): Non-linear in exogenous variables ────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(y[m] ~ 1) at test-constrain.R:51:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 6. └─lava:::`intercept<-.lvm`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-constrain.R:66:5'): Probit constraints ───────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. ├─lava::`ordinal<-`(...) at test-constrain.R:66:5 2. └─lava:::`ordinal<-.lvm`(...) 3. ├─lava::ordinal(x, value, ...) 4. └─lava:::ordinal.lvm(x, value, ...) 5. ├─lava::`intfix<-`(`*tmp*`, var[i], NULL, value = 0) 6. └─lava:::`intfix<-.lvm`(`*tmp*`, var[i], NULL, value = 0) 7. ├─lava::`intercept<-`(`*tmp*`, ..., value = value) 8. └─lava:::`intercept<-.lvm`(`*tmp*`, ..., value = value) 9. └─lava::reindex(object) 10. └─lava:::mat.lvm(x, res) 11. └─base::cbind(idxM, pidxM) ── Error ('test-constrain.R:92:3'): Multiple group constraints II ────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(~bw.1 + bw.2) at test-constrain.R:92:3 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`exogenous<-`(...) 6. └─lava:::`exogenous<-.lvm`(...) 7. └─lava::reindex(x) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-inference.R:47:5'): IV-estimator ─────────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. ├─lava::estimate(m, d, estimator = "iv") at test-inference.R:47:5 2. └─lava:::estimate.lvm(m, d, estimator = "iv") 3. ├─base::do.call(...) 4. └─lava:::IV_objective.lvm(x = `<lvm>`, data = `<df[,4]>`, control = `<list>`) 5. └─lava:::IV2(x, data, ...) 6. ├─lava::parfix(m, idx, p) 7. └─lava:::parfix.lvm(m, idx, p) 8. └─lava::reindex(object) 9. └─lava:::mat.lvm(x, res) 10. └─base::cbind(idxM, pidxM) ── Error ('test-inference.R:118:5'): modelsearch and GoF ─────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. ├─lava::estimate(lvm(c(y1, y2) ~ 1, y1 ~ x), d) at test-inference.R:118:5 2. └─lava::lvm(c(y1, y2) ~ 1, y1 ~ x) 3. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 4. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 5. └─lava::procformula(object, value, ...) 6. ├─lava::`intercept<-`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 7. └─lava:::`intercept<-.lvm`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 8. └─lava::reindex(object) 9. └─lava:::mat.lvm(x, res) 10. └─base::cbind(idxM, pidxM) ── Error ('test-inference.R:255:5'): Prediction with missing data, random intercept ── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(c(y1, y2, y3) ~ u[0]) at test-inference.R:255:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(...) 6. └─lava:::`intercept<-.lvm`(...) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-inference.R:323:5'): Random slope model ──────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(c(y1[0:v], y2[0:v], y3[0:v]) ~ 1 * u) at test-inference.R:323:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(...) 6. └─lava:::`intercept<-.lvm`(...) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-model.R:4:5'): Basic model building blocks ───────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(y[m] ~ x) at test-model.R:4:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(...) 6. └─lava:::`intercept<-.lvm`(...) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-model.R:88:5'): Graph attributes ─────────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::graph2lvm(g1) at test-model.R:88:5 2. └─lava::lvm(graph::nodes(g), debug = debug, messages = messages) 3. ├─lava::addvar(res, myvar, messages = messages) 4. └─lava:::addvar.lvm(res, myvar, messages = messages) 5. └─lava::reindex(x) 6. └─lava:::mat.lvm(x, res) 7. └─base::cbind(idxM, pidxM) ── Error ('test-model.R:119:5'): Categorical variables ───────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::`categorical<-`(`*tmp*`, K = 3, p = c(0.1, 0.5), value = `<formula>`) at test-model.R:119:5 2. └─lava::categorical(x, value, ...) 3. ├─lava::`ordinal<-`(...) 4. └─lava:::`ordinal<-.lvm`(...) 5. ├─lava::ordinal(x, value, ...) 6. └─lava:::ordinal.lvm(x, value, ...) 7. ├─lava::`addvar<-`(`*tmp*`, value = var) 8. └─lava:::`addvar<-.lvm`(`*tmp*`, value = var) 9. ├─lava::addvar(x, var = value, ...) 10. └─lava:::addvar.lvm(x, var = value, ...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-multigroup.R:31:3'): Missing data analysis ───────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. ├─lava::estimate(m, d, missing = TRUE) at test-multigroup.R:31:3 2. └─lava:::estimate.lvm(m, d, missing = TRUE) 3. └─lava:::estimate.MAR(...) 4. ├─base::subset(Model(x), exogenous(x)) 5. └─lava:::subset.lvm(Model(x), exogenous(x)) 6. └─lava::lvm(vars) 7. ├─lava::addvar(res, myvar, messages = messages) 8. └─lava:::addvar.lvm(res, myvar, messages = messages) 9. └─lava::reindex(x) 10. └─lava:::mat.lvm(x, res) 11. └─base::cbind(idxM, pidxM) ── Error ('test-multigroup.R:80:5'): Multiple group, constraints ─────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(y[m:v] ~ 1) at test-multigroup.R:80:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 6. └─lava:::`intercept<-.lvm`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-sim.R:4:5'): Constrain, transform I ──────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(, ~y + x) at test-sim.R:4:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`exogenous<-`(...) 6. └─lava:::`exogenous<-.lvm`(...) 7. └─lava::reindex(x) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-sim.R:22:5'): Missing ────────────────────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(y ~ 1) at test-sim.R:22:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 6. └─lava:::`intercept<-.lvm`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) ── Error ('test-sim.R:107:5'): distributions ─────────────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. ├─lava::`distribution<-`(`*tmp*`, ~y, TRUE, value = `<fn>`) at test-sim.R:107:5 2. └─lava:::`distribution<-.lvm`(`*tmp*`, ~y, TRUE, value = `<fn>`) 3. ├─lava::`distribution<-`(`*tmp*`, variable, mdist = TRUE, value = list(gen)) 4. └─lava:::`distribution<-.lvm`(...) 5. ├─lava::`addvar<-`(`*tmp*`, value = variable) 6. └─lava:::`addvar<-.lvm`(`*tmp*`, value = variable) 7. ├─lava::addvar(x, var = value, ...) 8. └─lava:::addvar.lvm(x, var = value, ...) 9. └─lava::reindex(x) 10. └─lava:::mat.lvm(x, res) 11. └─base::cbind(idxM, pidxM) ── Error ('test-sim.R:176:5'): eventTime ─────────────────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─lava::lvm(y ~ 1) at test-sim.R:176:5 2. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 3. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 4. └─lava::procformula(object, value, ...) 5. ├─lava::`intercept<-`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 6. └─lava:::`intercept<-.lvm`(`*tmp*`, ys, value = char2num(xs[intpos[1]])) 7. └─lava::reindex(object) 8. └─lava:::mat.lvm(x, res) 9. └─base::cbind(idxM, pidxM) [ FAIL 16 | WARN 0 | SKIP 0 | PASS 173 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc